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Abstract

The Hear Her communication campaign was launched nationally in August 2020 to raise awareness of urgent maternal warning signs during and after pregnancy and improve communication between patients and their health care providers. To assess aided campaign awareness during early implementation, an internet panel survey was conducted a month after the campaign launch (Wave 1) with a follow-up survey 7 months later (Wave 2). The survey was fielded nationwide with enhanced recruitment for respondents in the campaign’s priority markets: Atlanta, Dallas, New Orleans, New York, and St. Louis. Aided campaign awareness increased 14.2 percentage points overall among pregnant and postpartum survey participants between waves, with the highest increase in awareness among non-Hispanic Black pregnant and postpartum survey participants (19.8 percentage points). Among Wave 2 survey respondents, those aware of the campaign were more likely to search for information when something did not feel right (adjusted prevalence ratio [aPR] = 1.05), discuss concerns with someone close (aPR = 1.14), or desire more information from their health care provider on pregnancy-related complications or warning signs and symptoms (aPR = 1.62)—after adjustment for age, race/ethnicity, education, geographical location (residence in campaign’s priority markets for media buys), and household income. These findings suggest that aided awareness of the Hear Her campaign increased among pregnant and postpartum survey participants in the first 7 months of the campaign and was associated with outcomes the campaign may influence. This study provides considerations for measuring outcomes associated with implementation of Hear Her and similar campaigns.

Keywords

Hear Her pregnancy-related complications postpartum media campaigns communication campaigns maternal mortality

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References

Austin

P. C.

(2014). A comparison of 12 algorithms for matching on the propensity score. Statistics in Medicine, 33(6), 1057–1069. https://onlinelibrary.wiley.com/doi/10.1002/sim.6004

Bandura

(2004). Health promotion by social cognitive means. Health Education Behavior, 31(2), 143–164. https://doi.org/10.1177/1090198104263660

Behm

Tevendale

Carrigan

Stone

Morris

Rosenthal

(2022). A national communication effort addressing maternal mortality in the United States: Implementation of the hear her campaign. Journal of Women’s Health, 31(12), 1677–1685. https://doi.org/10.1089/jwh.2022.0428

Bonnevie

Barth

May

Carey

Knell

S. B.

Wartella

Smyser

(2022). Growing and glowing: A digital media campaign to increase access to pregnancy-related health information for black women during the COVID-19 pandemic. Health Promotion Practice, 24(3), 444–454. https://doi.org/10.1177/15248399221083844

Briant

K. J.

Halter

Marchello

Escareño

Thompson

(2016). The power of digital storytelling as a culturally relevant health promotion tool. Health Promotion Practice, 17(6), 793–801. https://doi.org/10.1177/1524839916658023

CDC Foundation. (2024a). Community-based organizations join the hear her® campaign to share maternal health messaging. https://www.cdcfoundation.org/programs/hear-her-evaluation-and-community-based-organization-implementation

CDC Foundation. (2024b). Sharing lifesaving messages to help prevent pregnancy-related deaths. https://www.cdcfoundation.org/stories/sharing-lifesaving-messages-help-prevent-pregnancy-related-deaths

Centers for Disease Control and Prevention. (2023, December 15). Pregnancy mortality surveillance system. https://www.cdc.gov/maternal-mortality/php/pregnancy-mortality-surveillance/?CDC_AAref_Val=https://www.cdc.gov/reproductivehealth/maternal-mortality/pregnancy-mortality-surveillance-system.htm

Centers for Disease Control and Prevention. (2024a, August 18). CDC Approach to Program Evaluation (Step 2- Describe the Program). https://www.cdc.gov/evaluation/php/evaluation-framework-action-guide/step-2-describe-the-program.html

10.

Centers for Disease Control and Prevention. (2024b, February 1). Health Care Professionals. https://www.cdc.gov/hearher/hcp/overview/index.html

11.

Centers for Disease Control and Prevention. (2024c, May 16). Logic Models. https://www.cdc.gov/library/research-guides/logic-models.html#cdc_report_pub_study_section_5-logic-models-for-program-evaluation

12.

Centers for Disease Control and Prevention. (2024d, February 20). Pregnant and postpartum women. https://www.cdc.gov/hearher/pregnant-postpartum/index.html

13.

Centers for Disease Control and Prevention. (2024e, April 8). Working Together to Reduce Black Maternal Mortality. https://www.cdc.gov/womens-health/features/maternal-mortality.html?CDC_AAref_Val=https://www.cdc.gov/healthequity/features/maternal-mortality/index.html

14.

Chen

Stubblefield

Stoner

J. A.

(2021). Oversampling of minority populations through dual-frame surveys. Journal of Survey Statistics and Methodology, 9(3), 626–649. https://doi.org/10.1093/jssam/smz054

15.

Cueva

Kuhnley

Revels

Schoenberg

N. E.

Dignan

(2015). Digital storytelling: A tool for health promotion and cancer awareness in rural Alaskan communities. International Journal of Circumpolar Health, 74(1). https://doi.org/10.3402/ijch.v74.28781

16.

de Vere Hunt

Linos

. (2022). Social media for public health: Framework for social media-based public health campaigns. Journal of Medical Internet Research, 24(12), Article e42179. https://doi.org/10.2196/42179

17.

Edwards

R. C.

Thullen

M. J.

Isarowong

Shiu

C. S.

Henson

Hans

S. L.

(2012). Supportive relationships and the trajectory of depressive symptoms among young, African American mothers. Journal of Family Psychology, 26(4), 585–594. https://doi.org/10.1037/a0029053

18.

Eppes

E. V.

Augustyn

Gross

S. M.

Vernon

Caulfield

L. E.

Paige

D. M.

(2023). Engagement with and acceptability of digital media platforms for use in improving health behaviors among vulnerable families: Systematic review. Journal of Medical Internet Research, 25, Article e40934. https://doi.org/10.2196/40934

19.

Hair

E. C.

Kreslake

J. M.

Rath

J. M.

Pitzer

Bennett

Vallone

(2023). Early evidence of the associations between an anti-e-cigarette mass media campaign and e-cigarette knowledge and attitudes: Results from a cross-sectional study of youth and young adults. Tobacco Control, 32(2), 179. https://doi.org/10.1136/tobaccocontrol-2020-056047

20.

Hair

E. C.

Kreslake

J. M.

Tulsiani

McKay

Vallone

(2023). Reducing e-cigarette use among youth and young adults: Evidence of the truth campaign’s impact. Tobacco Control, tc-2023-057992. https://doi.org/10.1136/tc-2023-057992

21.

Hinyard

L. J.

Kreuter

M. W.

(2007). Using narrative communication as a tool for health behavior change: A conceptual, theoretical, and empirical overview. Health Education & Behavior, 34(5), 777–792. http://www.jstor.org/stable/45055957

22.

Hsiao

(2007). Panel data analysis—advantages and challenges. TEST, 16(1), 1–22. https://doi.org/10.1007/s11749-007-0046-x

23.

Illinois Perinatal Quality Collaborative. (2019). Birth equity—BE. https://ilpqc.org/initiative/birth-equity-be/

24.

Kent-Marvick

Simonsen

Pentecost

Taylor

McFarland

M. M.

(2022). Loneliness in pregnant and postpartum people and parents of children aged 5 years or younger: A scoping review. Systematic Reviews, 11(1), 196. https://doi.org/10.1186/s13643-022-02065-5

25.

Lohr

A. M.

Raygoza Tapia

J. P.

Valdez

E. S.

Hassett

L. C.

Gubrium

A. C.

Fiddian-Green

Larkey

Sia

I. G.

Wieland

M. L.

(2022). The use of digital stories as a health promotion intervention: A scoping review. BMC Public Health, 22(1), 1180. https://doi.org/10.1186/s12889-022-13595-x

26.

Murphy-Hoefer

Davis

K. C.

King

B. A.

Beistle

Rodes

Graffunder

(2020). Association between the tips from former smokers campaign and smoking cessation among adults, United States, 2012–2018. Prevention Chronic Disease, 17(200052). https://www.cdc.gov/pcd/issues/2020/20_0052.htm

27.

National Indian Health Board. (2023). Hear her campaign: Maternal health promotion for American Indian and Alaska native communities 2023. Request for Applications (RFA). https://www.nihb.org/resources/maternal-health-hear-her_funding-opportunity-overview.pdf

28.

Negron

Martin

Almog

Balbierz

Howell

E. A.

(2013). Social support during the postpartum period: Mothers’ views on needs, expectations, and mobilization of support. Maternal and Child Health Journal, 17(4), 616–623. https://doi.org/10.1007/s10995-012-1037-4

29.

Noar

S. M.

(2012). An Audience–Channel–Message–Evaluation (ACME) framework for health communication campaigns. Health Promotion Practice, 13(4), 481–488. https://doi.org/10.1177/1524839910386901

30.

Petersen

E. E.

Davis

N. L.

Goodman

Cox

Mayes

Johnston

Syverson

Seed

Shapiro-Mendoza

C. K.

Callaghan

W. M.

Barfield

(2019). Vital signs: Pregnancy-related deaths, United States, 2011-2015, and strategies for prevention, 13 States, 2013-2017. MMWR Morbidity and Mortality Weekly Report, 68(18), 423–429. https://doi.org/10.15585/mmwr.mm6818e1

31.

Renbarger

K. M.

Place

J. M.

Schreiner

(2021). The Influence of four constructs of social support on pregnancy experiences in group prenatal care. Women’s Health Report, 2(1), 154–162. https://doi.org/10.1089/whr.2020.0113

32.

Rubin

D. B.

(2001). Using propensity scores to help design observational studies: Application to the tobacco litigation. Health Services and Outcomes Research Methodology, 2(3), 169–188. https://doi.org/10.1023/A:1020363010465

33.

SAS Institute Inc. Usage Note 23003. (2022). Estimating a relative risk (also called risk ratio, prevalence ratio). https://support.sas.com/kb/23/003.html

34.

Stierman

E. K.

Watts

Lawson

S. M.

Bruce

T. M.

Reed-Vance

Bower

K. M.

Creanga

A. A.

Callaghan-Koru

J. A.

(2024). Educating families on urgent maternal warning signs: Learning from a pilot to improve training and tools for maternal and child home visiting programs. Health Promotion Practice, 0(0), 15248399241256691. https://doi.org/10.1177/15248399241256691

35.

Stuart

E. A.

(2010). Matching methods for causal inference: A review and a look forward. Statistical Science, 25(1), 1–21. https://doi.org/10.1214/09-sts313

36.

Tan

Ramazanu

Liaw

S. Y.

Chua

W. L.

(2022). Effectiveness of public education campaigns for stroke symptom recognition and response in non-elderly adults: A systematic review and meta-analysis. Journal of Stroke and Cerebrovascular Disease, 31(2), 106207. https://doi.org/10.1016/j.jstrokecerebrovasdis.2021.106207

37.

Trost

Beauregard

Chandra

Njie

Berry

Harvey

Goodman

D. A.

(2022). Pregnancy-related deaths: Data from maternal mortality review committees in 36 US States, 2017–2019. MMRIA: Maternal Mortality Review Information App, CDC Reports Using MMRIA Data. https://www.cdc.gov/maternal-mortality/php/data-research/?CDC_AAref_Val=https://www.cdc.gov/reproductivehealth/maternal-mortality/erase-mm/data-mmrc.html

38.

Wallington

S. F.

Oppong

Iddirisu

Adams-Campbell

L. L.

(2018). Developing a mass media campaign to promote mammography awareness in African American women in the nation’s capital. Journal of Community Health, 43(4), 633–638. https://doi.org/10.1007/s10900-017-0461-1

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Assessing Early Impact of the Hear Her® Communication Campaign

Abstract

Keywords

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